The Global South Awakens: Lessons from India's AI Strategy for Mexico's State Policy

Author: Daniela Muñoz · Technology and AI · February 27

In the contemporary global order, the frontier of national sovereignty has ceased to be a geographic line and become an architecture of silicon, data, and energy. The recent reconfiguration of the technological landscape, driven by the International AI Forum in India and New Delhi summits in 2026, marks an inflection point for emerging economies. India has undertaken a deliberate transition from being a rule-taker to becoming a rule-shaper, under a doctrine it calls the "AI Techade." This strategy understands that control over the complete technology stack, from energy and chips to models and applications, is the equivalent of 20th-century military power. For Mexico, this mirror is vital.

I. Infrastructure and Sovereignty: The "Five-Layer Stack" as National Foundation

The fundamental first lesson Mexico must extract from the Indian model is the need for a vertically integrated vision. The AI era demands what New Delhi's government defines as the doctrine of five interdependent layers: applications, models, chips, infrastructure, and energy. In Mexico, where demand expansion for data centers will exceed 1,500 MW by 2030, the risk of becoming "energy colonies" is imminent.

The IndiaAI Mission, launched with a state fund of 1.1 billion dollars, offers an operational pillar Mexico could replicate: democratization of computing through a national network of 10,000 GPUs for startups and public institutions. For Mexico, this would mean transforming the Querétaro cluster from a data maquila zone to a shared infrastructure feeding sovereign models.

II. Geopolitics and Diplomacy: The Triangle of Strategic Autonomy

Mexico's position in the USMCA situates it in an "impossible triangle" similar to what India faces between superpowers. India has responded to this pressure with the New Delhi Declaration. Mexico must observe this movement closely: unconditionally aligning with Washington's technology stack could imply loss of strategic autonomy.

The sovereign response is developing a "third way." This implies betting on own open-source models and governance standards that India calls "pro-innovation and layer-based." Mexico has the opportunity to lead in the LATAM region in creating a regulatory framework that protects national data property while fostering structured exchange.

III. The Human Factor and Digital Public Infrastructure (DPI)

AI debate often ignores the most critical blind spot: systemic labor risk. Figures like Vinod Khosla have warned that entire sectors could collapse in less than five years due to automation. We must transition toward "AI-Native Organizations," where critical competence is not programming, but strategic curiosity and ability to orchestrate AI agents.

True innovation for Mexico lies in adopting the Digital Public Infrastructure (DPI) model. India has used this framework to digitize identity and payments (Aadhaar, UPI), and is now applying it to AI in health and agriculture.

IV. Conclusion: Toward a National AI Mission for Mexico

The prospective scenario toward 2030 suggests India will consolidate as an AI hub for the Global South. Mexico faces an identical historical opportunity. If we can align our energy infrastructure policy with a sovereign technology vision, we can transition from being a basic nearshoring destination to one of strategic "smart-shoring."

Sources: Atlantic Council (2026), MeitY India (2024-2025), Financial Times (2025), NYT (2026), IEA (2024), El País (2024).